This is an experimental merge, separate from my GonzaLomo models. I think the name of the model says it all.
My primary purpose in creating this model is to generate images that I can use for WAN I2V. I wanted something that had a more amateur feel while still being able to produce good color, composition and lighting.
The v5.1 models are really the best of the bunch and offer a wide variety in speed and usage while giving the best photorealistic results.. See the version details for the recommended settings for each of those.
Most of these versions are DMD models, intended to produce images very rapidly. I recommend using my SDXL DMD workflow.
The recommended settings for the DMD models are:
Sampler: LCM
Scheduler: karras, exponential or beta
Steps: 6-14
CFG: 1.0-1.3
Clip Skip: 1-5
Fooocus Setup Instructions
1) Click the Advanced checkbox.
2) On the Settings tab, leave the Preset as 'initial' and the Performance as 'Speed'.
3) On the Models tab, set both the Base and Refiner models to MoP.
4) Change the Refiner Switch At setting to anywhere from 0.75 to 0.90. I like 0.85.
5) On the Advanced tab, change the Guidance Scale to 1.
6) Change the Positive ADM Guidance Scaler to 1.
7) Change the Sampler to 'lcm'. You can leave the Scheduler as Karras or Exponential.
8) Set the Forced Overwrite of Sampling Step to 7 to 11. I like 9.
Description
This is now the third version of v5.1 and this is a bit of an experimental oddball. It's a block-level hybrid between v5.1 with its DMD2 textures and v5.1 Non-DMD with its regular SDXL textures. The benefits of this v5.1 Flexible version are:
You can use a wide variety of samplers, schedulers and CFG just like the Non-DMD version.
It only needs as little as 6 steps to generate an image but can go as high as 20.
So basically you get the regular SDXL textures with DMD2 speed.
I strongly recommend using a good refining ComfyUI workflow such as one of mine, or adding the refining option if you use another tool.
Please experiment with whatever settings you like but the settings I use are:
Sampler: dpmpp_sde
Scheduler: exponential
Steps: 8
CFG: 2.0
CFG is a bit more limited than with the non-DMD version. I haven't had good success with any value higher than 3.0 and 1.5-2.5 seems to work best depending on the sampler.